SOTAVerified

Link Prediction

Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.

( Image credit: Inductive Representation Learning on Large Graphs )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–875 of 1949 papers

TitleStatusHype
Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries—0
HONEM: Learning Embedding for Higher Order Networks—0
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge—0
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers—0
A Survey on Graph Classification and Link Prediction based on GNN—0
Adaptive Candidate Generation for Scalable Edge-discovery Tasks on Data Graphs—0
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?—0
Directed Graph Representation through Vector Cross Product—0
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction—0
Directed Homophily-Aware Graph Neural Network—0
How the use of feature selection methods influences the efficiency and accuracy of complex network simulations—0
How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method—0
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling—0
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction—0
Knowledge Graphs and Knowledge Networks: The Story in Brief—0
HUGE: Huge Unsupervised Graph Embeddings with TPUs—0
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors—0
Hybrid Recommendation System using Graph Neural Network and BERT Embeddings—0
Composing Relationships with Translations—0
Farspredict: A benchmark dataset for link prediction—0
A Survey on Embedding Dynamic Graphs—0
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction—0
Abstract Graphs and Abstract Paths for Knowledge Graph Completion—0
Fair Node Representation Learning via Adaptive Data Augmentation—0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification—0
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All datasetsFB15k-237WN18RRWN18FB15kYAGO3-10ICEWS05-15ICEWS14CiteseerCoraPubmedWikidata5MGDELT

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56—Unverified
2CP-N3-RPHits@100.55—Unverified
3DistMult (after variational EM)Hits@100.55—Unverified
4KG-R3Hits@100.54—Unverified
5LASSHits@100.53—Unverified
6MDE_advHits@100.53—Unverified
7GFA-NNHits@100.52—Unverified
8KGRefinerHits@100.49—Unverified
9ComplEx NSCachingHits@100.48—Unverified
10LogicENNHits@100.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88—Unverified
2KERMITHits@100.83—Unverified
3MoCoSAHits@100.82—Unverified
4SimKGCIB(+PB+SN)Hits@100.82—Unverified
5C-LMKE(bert-base)Hits@100.79—Unverified
6LASSHits@100.79—Unverified
7LP-BERTHits@100.75—Unverified
8KGLMHits@100.74—Unverified
9StAR(Self-Adp)Hits@100.71—Unverified
10PALTHits@100.69—Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11—Unverified
2LibKGE (ruffinelli2020you)training time (s)10—Unverified
3GraphVite (zhu2019graphvite)training time (s)6—Unverified
4Inverse ModelHits@100.96—Unverified
5QuatDEHits@100.96—Unverified
6LineaREHits@100.96—Unverified
7AutoKGEHits@100.96—Unverified
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)Hits@100.96—Unverified
10RotatEHits@100.96—Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9—Unverified
2AutoKGEMRR0.86—Unverified
3ComplEx-N3 (reciprocal)MRR0.86—Unverified
4LineaREMRR0.84—Unverified
5DistMult (after variational EM)MRR0.84—Unverified
6QuatEMRR0.83—Unverified
7SEEKMRR0.83—Unverified
8MEI-BTDMRR0.81—Unverified
9MEI (small)MRR0.8—Unverified
10pRotatEMRR0.8—Unverified